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<table width="100%" summary="page for methionine"><tr><td>methionine</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>Weight gain for different methionine sources</h2>

<h3>Description</h3>

<p>Data consist of average body weight gain of chickens being treated 
with one of the two methionine sources DLM and HMTBA.
</p>


<h3>Usage</h3>

<pre>data(methionine)</pre>


<h3>Format</h3>

<p>A data frame with 9 observations on the following 3 variables:
</p>

<dl>
<dt><code>product</code></dt><dd><p>a factor with levels <code>control</code>, <code>DLM</code> and <code>MHA</code> denoting the treatments</p>
</dd>
<dt><code>dose</code></dt><dd><p>a numeric vector of methionine dose</p>
</dd>
<dt><code>gain</code></dt><dd><p>a numeric vector of average body weight gain</p>
</dd>
</dl>



<h3>Details</h3>

<p>The dataset contains a common control measurement for the two treatments. More examples using this
dataset are found under <code>AR.2</code> and <code>MM.2</code>.
</p>


<h3>Source</h3>

<p>Kratzer. D. D. and Littell, R. C. (2006) Appropriate Statistical Methods to Compare 
Dose Responses of Methionine Sources, <em>Poultry Science</em>, <b>85</b>, 947&ndash;954.
</p>


<h3>Examples</h3>

<pre>

## Fitting model with constraint on one parameter 
met.ar.m1 &lt;- drm(gain~dose, product, data = methionine, 
fct = AR.3(), pmodels = list(~1, ~factor(product), ~factor(product)), 
upperl = c(Inf, Inf, 1700, Inf, Inf)) 

plot(met.ar.m1, xlim=c(0,0.3), ylim=c(1450, 1800))
abline(h=1700, lty=1)

summary(met.ar.m1)

</pre>


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